Data Engineer

The ideal candidate combines strong software engineering skills with deep expertise in cloud data platforms and distributed data processing. This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives., * Design, build, and maintain scalable data pipelines and ELT/ETL workflows.

• Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications.
• Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets.
• Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets.
• Design and implement data quality, validation, and monitoring processes.
• Support both batch and near real-time data integration requirements.
• Develop APIs and data services that enable internal and customer-facing applications.
• Optimize data pipeline performance, scalability, and cost efficiency.
• Document data architectures, pipeline processes, and engineering standards.
• Evaluate emerging technologies and recommend improvements to the organization’s data platform.
• Mentor team members and help establish engineering best practices.

• 7+ years of experience in Data Engineering, Software Engineering, or a related field.
• Strong SQL skills and extensive experience working with modern cloud data platforms, preferably Snowflake.
• Strong proficiency with Python and data engineering development practices.
• Experience designing and maintaining large-scale ELT/ETL pipelines.
• Strong understanding of data modeling, data warehousing, and distributed data architectures.
• Experience integrating structured and semi-structured data from multiple internal and external sources.
• Familiarity with data orchestration and transformation frameworks.
• Strong troubleshooting and performance optimization skills.
• Excellent communication and stakeholder management skills.
• Ability to work independently while managing multiple initiatives.

Preferred Qualifications

• Automotive industry data experience, including vehicle, dealership, CRM, inventory, consumer, telematics, finance, aftermarket, or mobility datasets.
• Experience with dbt and modern analytics engineering workflows.
• Experience with streaming technologies and event-driven architectures.
• Experience supporting Business Intelligence, Data Science, and AI initiatives.
• Familiarity with machine learning data pipelines and feature engineering concepts.
• Experience working in a remote-first environment.

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all are welcome to apply who can support 8:30AM-5:30PM eastern hours., This postion offers competive compensation of $140,000 annually, commensurate with experience, as well as, participation in company benefit offerings including medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more.

Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo® technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue. Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount. Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.